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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 7206
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    Explanations

    titles, headings, or specific phrases beginning with the word "This"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific works, titles, or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slowing
    -0.72
     grav
    -0.70
     flush
    -0.69
     vig
    -0.69
     suppressing
    -0.67
     pend
    -0.67
     brig
    -0.66
     petertodd
    -0.66
     propag
    -0.65
     internal
    -0.65
    POSITIVE LOGITS
     Happ
    0.99
     Own
    0.96
    !,
    0.90
     Tomorrow
    0.90
     Lies
    0.88
    zac
    0.87
     Things
    0.87
    opolis
    0.87
    Else
    0.84
     Pieces
    0.84
    Activations Density 0.257%

    No Known Activations